Welcome! I am a PhD Candidate at Penn State Information School advised by Dr. Dana Calacci, my research examines the ethics and politics in the communicative dimension of Machine Learning (ML) research and technology, with a focus on epistemic and ethical accountability. Trained in Science and Technology Studies, I use philosophical analysis and social scientific methods to study communicative norms around ML - what goes wrong, why it matters, and how to fix it. My ultimate aim is to strengthen accountability in the communicative dimension through governance solutions.

BIO:

I am a PhD Candidate at Penn State Information School advised by Dr. Dana Calacci, an affiliate of Center for Socially Responsible Artificial Intelligence (CSRAI) at Penn State, and a Liberal Tech Scholar at critical tech pubilcation LOGIC(S). I am also a visiting scholar at Critical Technocultures Lab at the School of Interactive Computing at Georgia Tech.

I received a BS in Economics from Harbin Institute of Technology and Monash University with high honors, and a MS in Computer Science from Fordham University with Dean’s Fellowship where I developed a semi-supervised variant of Support Vector Machines. Afterwards, I worked in industry for two years as a Machine Learning Engineer. These experiences shifted my earlier views of science, revealing it to be subjective, messy, and political, and motivating me to examine the epistemic and ethical implications of such nature.

UPDATES:

• (2025 Oct) I will present our paper (w/ Dana Calacci and Cindy Lin) “Dead Zone of Accountability” at the 8th ACM/AAAI Conference Artificial Intelligence Ethics and Society in Madrid, Spain from 20th to 22nd.
• (2025 Sep) I will present our work in progress (w/ Dana Calacci and Nasser Eledroos) at the inaugural Hype Studies Conference in Barcelona, Spain held at Universitat Oberta de Catalunya.
  • The conference has a mixed attendees such as researchers, designers, filmmakers, come say hi! I will present on the opening day of the 10th.
• (2025 Jul) Lead author paper (w/ Dana Calacci and Cindy Lin) has been accepted to the 2025 ACM/AAAI AI Ethics and Society. This paper delineats the epistemic conditions of ML that resist meaningful accountability for the communicative dimension of ML research. Preprint or TL;DR.
• (2025 May) I will attend the Privacy Law Scholar Conference at UCLA this year!
  • Fascinating discussions with Rohan Grover on his WIP on politics of expertise, and
  • Amina Abdu and Abigail Jacob’s (now forthcoming) law review article on standard as metaphor!
• (2025 May) Honored to be one of the finalists of 2025 Sloan Metascience and AI Postdoctoral Fellow, many thanks to the great Richmond Wong.
• (2024 Oct) Invited by the Digital Life Initiative at Cornell Tech to present my previous and ongoing work on the relationship between Machine Learning research practice reform and the social impact of ML-based technologies.